Hello R project
I am a R beginner trying to create a dummy variable to clasificate soil types.
So, I have a column in my database called codtipo (typecode in english) where
soil type is coded as
1.1 to 1.4 arenosol (I have 4 types)
2.1 to 2.3 calcisols
4.1 to 4.4 fluvisols
and so on
To make dummy variables I understand that, I create different columns as for
gipsisols
datos$gipsi=datos$codsuelo
for (i in 1:length(datos$gipsi)){if(datos$codsuelo[i]>=5.1 &&
(datos$codsuelo[i]<=5.4){datos$gipsi[i]=1}else{0}
}
for cambisols it should be
datos$cambi=datos$codsuelo
for (i in 1:length(datos$cambi)){if(datos$codsuelo[i]>=3.1 &&
datos$codsuelo[i]>=3.3){datos$cambi[i]=1}else{0}
}
and so on...
but anyway R answers that a necesary value TRUE/FALSE is not existing.
What can I do?
thanks a lot!!
Arantzazu Blanco Bernardeau
Dpto de Química Agrícola, Geología y Edafología
Universidad de Murcia-Campus de Espinardo
> Date: Thu, 3 Jun 2010 06:51:42 -0700
> From: lampria...@yahoo.com
> To: jorism...@gmail.com
> CC: r-help@r-project.org
> Subject: Re: [R] ordinal variables
>
> Thank you Joris,
> I'll have a look into the commands you sent me. They look convincing. I hope
> my students will also see them in a positive way (although I can force them
> to pretend that they have a positive attitude)!
>
> Dr. Iasonas Lamprianou
>
>
>
>
>
> Assistant Professor (Educational Research and Evaluation)
>
> Department of Education Sciences
>
> European University-Cyprus
>
> P.O. Box 22006
>
> 1516 Nicosia
>
> Cyprus
>
> Tel.: +357-22-713178
>
> Fax: +357-22-590539
>
>
>
>
>
> Honorary Research Fellow
>
> Department of Education
>
> The University of Manchester
>
> Oxford Road, Manchester M13 9PL, UK
>
> Tel. 0044 161 275 3485
>
> iasonas.lampria...@manchester.ac.uk
>
> --- On Thu, 3/6/10, Joris Meys <jorism...@gmail.com> wrote:
>
> From: Joris Meys <jorism...@gmail.com>
> Subject: Re: [R] ordinal variables
> To: "Iasonas Lamprianou" <lampria...@yahoo.com>
> Cc: r-help@r-project.org
> Date: Thursday, 3 June, 2010, 14:35
>
> see ?factor and ?as.factor. On ordered factors you can technically do a
> spearman without problem, apart from the fact that a spearman test by
> definition cannot give exact p-values with ties present.
>
> x <- sample(c("a","b","c","d","e"),100,replace=T)
>
> y <- sample(c("a","b","c","d","e"),100,replace=T)
>
> x.ordered <- factor(x,levels=c("e","b","a","d","c"),ordered=T)
>
> x.ordered
> y.ordered <- factor(y,levels=c("e","b","a","d","c"),ordered=T)
> y.ordered
>
> cor.test(x.ordered,y.ordered,method="spearman")
>
> require(pspearman)
>
> spearman.test(x.ordered,y.ordered)
>
> R commander has some menu options to deal with factors. R commander also
> provides a scripting window. Please do your students a favor, and show them
> how to use those commands.
>
>
> Cheers
> Joris
>
>
> On Thu, Jun 3, 2010 at 2:25 PM, Iasonas Lamprianou <lampria...@yahoo.com>
> wrote:
>
> Dear colleagues,
>
>
>
> I teach statistics using SPSS. I want to use R instead. I hit on one problem
> and I need some quick advice. When I want to work with ordinal variables, in
> SPSS I can compute the median or create a barchart or compute a spearman
> correlation with no problems. In R, if I "read" the ordinal variable as
> numeric, then I cannot do a barplot because I miss the category names. If I
> read the variables as characters, then I cannot run a spearman. How can I
> read a variable as numeric, still have the chance to assign value labels, and
> be able to get table of frequencies etc? I want to be able to do all these
> things in R commander. My students will probable be scared away if I try
> anything else other than R commander (just writing commands will not make
> them happy).
>
>
>
>
> I hope I am not asking for too much. Hopefully there is a way
>
>
>
>
>
>
>
>
>
> ______________________________________________
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>
> and provide commented, minimal, self-contained, reproducible code.
>
>
>
>
> --
> Joris Meys
> Statistical Consultant
>
> Ghent University
> Faculty of Bioscience Engineering
> Department of Applied mathematics, biometrics and process control
>
>
> Coupure Links 653
> B-9000 Gent
>
> tel : +32 9 264 59 87
> joris.m...@ugent.be
> -------------------------------
> Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
>
>
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>
>
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